Abstract
In this paper we present KERNEL, a neuro-fuzzy system for the extraction of knowledge directly from data, and a toolbox developed in the Matlab environment for its implementation. The KERNEL system belongs to the novel approach which concerns the use and representation of explicit knowledge within the neurocomputing paradigm: the Knowledge Based Neurocomputing. A specific neural network is designed, that reflects in its topology the structure of the fuzzy inference model on which is based the KERNEL system. A well-known system identification benchmark is used as illustrative example. © 2002 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Castellano, G., Castiello, C., & Fanelli, A. M. (2002). KERNEL: A Matlab toolbox for knowledge extraction and refinement by neural learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2329 LNCS, pp. 970–979). Springer Verlag. https://doi.org/10.1007/3-540-46043-8_98
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